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Efficacy of a comprehensive binary classification model using a deep convolutional neural network for wireless capsule endoscopy
The manual reading of capsule endoscopy (CE) videos in small bowel disease diagnosis is time-intensive. Algorithms introduced to automate this process are premature for real clinical applications, and multi-diagnosis using these methods has not been sufficiently validated. Therefore, we developed a...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8410868/ https://www.ncbi.nlm.nih.gov/pubmed/34471156 http://dx.doi.org/10.1038/s41598-021-96748-z |